Joel
Thomas

Aspiring Product Manager

United Kingdom

Product professional with 3+ years of experience supporting data-driven product delivery across global B2B SaaS and AI platforms. Proven exceptional in collaborating cross-functionally with product, development, QA and business stakeholders for connecting 2M+ customers. Experienced in backlog prioritisation, UAT, and building E2E dashboards using Python, SQL, Tableau, Power BI and Microsoft Office to support analytics, decision-making and operational transparency in fast-paced environments.

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Experience

My professional journey and the amazing teams I've been part of

CalibreCode Solutions logo

Product Owner

CalibreCode Solutions
Mar 2025Sep 2025
Led product vision and sprint delivery for an AI-powered business communication platform, writing and prioritising user stories, refining backlog in line with business goals through prioritisation and Agile ceremonies.
Conducted behavioural analysis and UAT-style validation, synthesising feedback and data insights to iterate on features, reducing time-to-market by 25%.
Applied market research and experimentation like feature pilots and A/B testing, to evaluate impact before wider rollout.
Reduced time-to-market by 25%
Marks and Spencer logo

Team Support Manager

Marks and Spencer
Nov 2024PresentCurrent
Lead operational delivery and task prioritisation in user-centric setting, and coaching the team to deliver high performance.
Analysed 20+ customer order fulfilment using internal tools to identify friction points and improve user experience.
Boosted customer satisfaction scores to 93% in a high-volume environment, and commended thrice in the past year for exceptional performance and customer service, proving a high level of adaptability and ownership.
Boosted customer satisfaction scores to 93%
Commended thrice in the past year for exceptional performance and customer service
Sulhuf Technologies logo

Data Analytics Engineer

Sulhuf Technologies
May 2023Sep 2023
Designed and built end-to-end reporting and analytics dashboards in Tableau/Power BI for real-time KPI tracking across product and sales teams, used by 30+ stakeholders in decision-making.
Integrated MongoDB and transformed raw data into actionable product insights, reducing decision latency by 60% and contributing to a 14% uplift in revenue growth in one quarter.
Collaborated with diverse teams, communicating metrics-supported strategy with senior leadership across EMEA.
Reduced decision latency by 60%
Contributed to a 14% uplift in revenue growth in one quarter
Used by 30+ stakeholders in decision-making
Smart Energy Water logo

Product Owner

Smart Energy Water
Jul 2021Mar 2023
Led roadmapping and delivery for B2B SaaS platforms as part of the Product Engineering & Management team: gathered business requirements, prioritised 40+ user stories, employing Agile sprint planning using JIRA, Confluence.
Delivered roadmap features with clear criteria simplifying operational workflows, reducing delivery time by 50%.
Championed cross-functional collaboration with engineering, design and QA teams through Agile scrum, managing sprints and epics, and delivering product presentations to the executive leadership, proving clear communication.
Reduced delivery time by 50%

Education

Where I built the foundation of my expertise

University of Nottingham logo

University of Nottingham

Master’s degree in Computer Science (Cyber Physical Systems)
Class of 2024
National Institute of Technology (NIT) Delhi logo

National Institute of Technology (NIT) Delhi

Bachelor’s degree in Electronics and Communication Engineering
Class of 2021

All Projects

A showcase of my most impactful work and creative endeavors

Smart Alert System for Industrial Application

Developed an Intelligent Alert System that continuously monitors environmental parameters using sensors and provides real-time alerts.Monitors temperature, light intensity, and intrusion.Employs Python for data processing and alert generation.Implements Machine Learning for predictive analysis.

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Modelling User Trust in AI Systems

This research employs a mixed-method approach, combining qualitative and quantitative analyses. The project includes scenario-based analyses and Likert scale surveys to assess how factors like transparency, privacy, security, and human oversight affect user trust.Exploration of AI use cases across healthcare, autonomous vehicles, and smart homes.Statistical analyses, including cross-tabulation and sentiment analysis.

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AI in Cybersecurity: Savior or Nemesis?

This report explores the use of AI in cybersecurity practices, presenting its applications in safeguarding digital assets as well as the potential risks it introduces. The report examines how AI is employed to fortify security measures, how it can be utilized in attacks, and the recommendations for organizations and individuals within the cyber domain.Authentication and Defence MechanismsAI in Incident ResponseAI

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